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# Robotics Data Quality Reviewer

- **Company:** Human Union Data, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Motion Planning
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=55eef0f7b9295b3f

## About the Role

* Hands-on experience operating, supervising, or evaluating robotic, autonomous, or teleoperated systems for Robotics Data Quality Reviewer work.
 * Comfort reasoning about perception, motion planning, and physical safety envelopes.
 * Familiarity with structured incident taxonomies and severity scoring.
 * Clear written reasoning that names the failure mode and the standard being applied.
 * Reliable async availability for at least 10 hours per week., * Background in robotics engineering, autonomy operations, or industrial safety.
 * Prior experience reviewing AI-assisted robotics tooling and its failure modes.
 * Familiarity with simulation environments and trajectory-replay tooling., * Robotics evaluation
 * Perception review
 * Motion safety
 * Incident taxonomy
 * Robotics review
 * Robotics and physical AI
 * AI evaluation
 * Rubric writing
 * Expert review

Work model

Remote - US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

## Description

Robotics Data Quality Reviewer is a remote review track for evaluating robotics review outputs against real-world physical-AI constraints. Reviewers grade trajectory choices, perception assumptions, and safety envelopes; flag failure modes; and document the corrected behavior so the modeling team can train on it., * Review robotics review outputs against current safety standards and operating envelopes for Robotics Data Quality Reviewer assignments.

 * Grade perception, motion, and decision logic on a structured rubric.
 * Flag near-miss and unsafe trajectories with severity tags that match incident taxonomies.
 * Capture the corrected behavior or reference trajectory so the modeling team can train on it.
 * Adjudicate disputed cases against published standards or firm operating procedures.
 * Maintain reviewer-quality scores in inter-rater calibration cycles., * Grade a robotics review model's chosen trajectory and flag any near-miss or unsafe motion.
 * Score a perception output against ground-truth labels and rate the failure category.
 * Adjudicate a disputed safety call between two reviewers using firm operating procedures.
 * Audit a 25-trajectory batch for rubric consistency and report drift to the program lead.


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